Celia Quillan

Another use case that many people enjoy is meal planning. So you can put in your preferences for what you... what your dietary preferences are, what you want to eat, how many meals you need prepped for, what your calorie intake you roughly want for each meal is.

And it can generate a list of ideas, recipes, grocery lists from there, and really help you outsource a lot of the menial tasks that take a lot of energy and mind space in your day-to-day.

And it can generate a list of ideas, recipes, grocery lists from there, and really help you outsource a lot of the menial tasks that take a lot of energy and mind space in your day-to-day.

And it can generate a list of ideas, recipes, grocery lists from there, and really help you outsource a lot of the menial tasks that take a lot of energy and mind space in your day-to-day.

Absolutely. And it is always better when you collaborate with it as well. You can refine it to make it more personalized. You can give it feedback. It's almost like a co-collaborator. And it really is, it's a magical tool when you first use it because I'm realizing that it can unlock this. It's like having a second intelligence in the room with you.

Absolutely. And it is always better when you collaborate with it as well. You can refine it to make it more personalized. You can give it feedback. It's almost like a co-collaborator. And it really is, it's a magical tool when you first use it because I'm realizing that it can unlock this. It's like having a second intelligence in the room with you.

Absolutely. And it is always better when you collaborate with it as well. You can refine it to make it more personalized. You can give it feedback. It's almost like a co-collaborator. And it really is, it's a magical tool when you first use it because I'm realizing that it can unlock this. It's like having a second intelligence in the room with you.

Yeah. Key thing to understand, unlike a search engine, these tools are not going and browsing a massive database of information, plucking out a paragraph or two and then pasting them back to you. They're not doing what a Google search might where it's browsing all the URLs on the web and finding the content that most matches your search. Instead, it is a predictive tool.

Yeah. Key thing to understand, unlike a search engine, these tools are not going and browsing a massive database of information, plucking out a paragraph or two and then pasting them back to you. They're not doing what a Google search might where it's browsing all the URLs on the web and finding the content that most matches your search. Instead, it is a predictive tool.

Yeah. Key thing to understand, unlike a search engine, these tools are not going and browsing a massive database of information, plucking out a paragraph or two and then pasting them back to you. They're not doing what a Google search might where it's browsing all the URLs on the web and finding the content that most matches your search. Instead, it is a predictive tool.

So it's predicting the best possible answer word by word or more technically token by tokens, a fraction of a word to give you an answer based off of the words you put into it. And it's basically like a very, very advanced autocorrect. How it's able to do this is these tools were trained off of a massive amount of data. So think about the contents of the entire internet, for example.

So it's predicting the best possible answer word by word or more technically token by tokens, a fraction of a word to give you an answer based off of the words you put into it. And it's basically like a very, very advanced autocorrect. How it's able to do this is these tools were trained off of a massive amount of data. So think about the contents of the entire internet, for example.

So it's predicting the best possible answer word by word or more technically token by tokens, a fraction of a word to give you an answer based off of the words you put into it. And it's basically like a very, very advanced autocorrect. How it's able to do this is these tools were trained off of a massive amount of data. So think about the contents of the entire internet, for example.

The computer is able to run a lot of complex calculations and notice different patterns within language. So it basically became very good at mimicking human language patterns and assigns weights to different words. So, for example, it might know that the word kitten is more frequently associated with cat than puppy.

The computer is able to run a lot of complex calculations and notice different patterns within language. So it basically became very good at mimicking human language patterns and assigns weights to different words. So, for example, it might know that the word kitten is more frequently associated with cat than puppy.

The computer is able to run a lot of complex calculations and notice different patterns within language. So it basically became very good at mimicking human language patterns and assigns weights to different words. So, for example, it might know that the word kitten is more frequently associated with cat than puppy.

And over time, all those different things informs the model that allows us to interact with these tools, the large language model. But all you need to know is effectively it's not retrieving information. It is predicting the best possible answer word by word based off of this massive training model that it has developed.

And over time, all those different things informs the model that allows us to interact with these tools, the large language model. But all you need to know is effectively it's not retrieving information. It is predicting the best possible answer word by word based off of this massive training model that it has developed.

And over time, all those different things informs the model that allows us to interact with these tools, the large language model. But all you need to know is effectively it's not retrieving information. It is predicting the best possible answer word by word based off of this massive training model that it has developed.

Certainly, I find them to be more or less interchangeable. So you have ChatGPT, kind of the leader, the most well-known, but there are countless tools in this arena. If you're looking for a more general purpose AI that can do kind of everything that I mentioned before, ChatGPT, Google Gemini,